Rendong Pi
Biographic Data
| ID | 7930637 |
|---|---|
| NAME | Rendong Pi |
| GIVEN NAMES | Rendong |
| FAMILY NAME | Pi |
| SIGNATURE | PI R |
| AFFILIATIONS | Shandong University |
| ORCID | 0000-0002-8490-6541 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Determinants and Prediction of Injury Severities in Multi-Vehicle-Involved Crashes
Multi-vehicle (MV) crashes, which can lead to great damages to society, have always been a serious issue for traffic safety. A further understanding of crash severity can help transportation engineers identify the critical reasons and find effective countermeasures to improve transportation safety. However, studies involving methods of machine learning to predict the possibility of injury-severity of MV crashes are rarely seen. Besides that, prev…
Analysis of Crash Severity for Hazard Material Transportation Using Highway Safety Information System Data
Crash severity, as a major concern in the routing and scheduling of hazardous material shipments, has caused great loss of lives and property damage every year. Although abundant studies have been conducted to identify the relationship between different factors on crash severity, the analysis of the severity of hazard material transportation (HMT) crashes is very limited. Factors including road, vehicle, driver, and environment are not well consi…
No prominent works on this page.
Analysis of Crash Severity for Hazard Material Transportation Using Highway Safety Information System Data
Crash severity, as a major concern in the routing and scheduling of hazardous material shipments, has caused great loss of lives and property damage every year. Although abundant studies have been conducted to identify the relationship between different factors on crash severity, the analysis of the severity of hazard material transportation (HMT) crashes is very limited. Factors including road, vehicle, driver, and environment are not well consi…
Determinants and Prediction of Injury Severities in Multi-Vehicle-Involved Crashes
Multi-vehicle (MV) crashes, which can lead to great damages to society, have always been a serious issue for traffic safety. A further understanding of crash severity can help transportation engineers identify the critical reasons and find effective countermeasures to improve transportation safety. However, studies involving methods of machine learning to predict the possibility of injury-severity of MV crashes are rarely seen. Besides that, prev…
Computer Science (2 works) · Crash (2 works) · Engineering (2 works) · Logistic regression (2 works) · Mathematics (2 works) · Medicine (2 works) · Poison control (2 works) · Statistics (2 works) · Traffic and Road Safety (2 works) · Transport engineering (2 works)